{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3H3LCR6YJBXHRUTIWMRV6HK6SL","short_pith_number":"pith:3H3LCR6Y","canonical_record":{"source":{"id":"2003.08119","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-18T09:40:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6fde32ff42b0278d383808d5f58a3818a5bc7339340f26b45647631497303376","abstract_canon_sha256":"3a78d3d7133e0843842dd03bfa57fa9dca1d0ae4f1ef324c82b7488f7221e866"},"schema_version":"1.0"},"canonical_sha256":"d9f6b147d8486e78d268b3235f1d5e92e2de4f100034236684199ef3be6ed907","source":{"kind":"arxiv","id":"2003.08119","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08119","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08119v2","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08119","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"3H3LCR6YJBXH","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"3H3LCR6YJBXHRUTI","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"3H3LCR6Y","created_at":"2026-07-05T02:07:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3H3LCR6YJBXHRUTIWMRV6HK6SL","target":"record","payload":{"canonical_record":{"source":{"id":"2003.08119","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-18T09:40:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6fde32ff42b0278d383808d5f58a3818a5bc7339340f26b45647631497303376","abstract_canon_sha256":"3a78d3d7133e0843842dd03bfa57fa9dca1d0ae4f1ef324c82b7488f7221e866"},"schema_version":"1.0"},"canonical_sha256":"d9f6b147d8486e78d268b3235f1d5e92e2de4f100034236684199ef3be6ed907","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:07:01.898234Z","signature_b64":"J6r9r89kbwXoOdlHT00xuwdndyN14rkAXd1jUUscY2geKxfgYHfGmU1hj5YkBk/+wB6otT8/romr7thr4mPIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9f6b147d8486e78d268b3235f1d5e92e2de4f100034236684199ef3be6ed907","last_reissued_at":"2026-07-05T02:07:01.897722Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:07:01.897722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.08119","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NGSWFXhuB+9aAZRTiB3aKLvosbxmzWsDALxkAm33pO0hTc/pYN4Bty67p88mKZlFs9XID10FST08Wd9N6QuJCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T12:54:14.498132Z"},"content_sha256":"de227f98d9cd285769a6866986cc09c7ef1a762cfa72175833300cbec3f2b39b","schema_version":"1.0","event_id":"sha256:de227f98d9cd285769a6866986cc09c7ef1a762cfa72175833300cbec3f2b39b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3H3LCR6YJBXHRUTIWMRV6HK6SL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Future of Digital Health with Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CY","authors_text":"Andrew Trask, Bennett Landman, Daguang Xu, Fausto Milletari, Holger Roth, Jonny Hancox, Klaus Maier-Hein, Mathieu N. Galtier, Maximilian Baust, Micah Sheller, M. Jorge Cardoso, Nicola Rieke, Ronald M. Summers, Sebastien Ourselin, Shadi Albarqouni, Spyridon Bakas, Wenqi Li","submitted_at":"2020-03-18T09:40:56Z","abstract_excerpt":"Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data silos and privacy concerns restrict access to this data. However, without access to sufficient data, ML will be prevented from reaching its full potential and, ultimately, from making the transition from research to clinical practice. This paper considers key factors contributing to this issue, explores how Feder"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08119","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2003.08119/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vlvJnJ0s6hg4p177FbbNoFJ4yHNWrUxCE+9NFY6J2i5sC4eaFMgCL46rcdyvkc/V0S9zQ4nIKus3OfBYJ5HBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T12:54:14.499070Z"},"content_sha256":"4a766a521f74ebb42de20dfa53aa2fa02fd2f6c3e3868db62fb36bf7481c2c3f","schema_version":"1.0","event_id":"sha256:4a766a521f74ebb42de20dfa53aa2fa02fd2f6c3e3868db62fb36bf7481c2c3f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL/bundle.json","state_url":"https://pith.science/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T12:54:14Z","links":{"resolver":"https://pith.science/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL","bundle":"https://pith.science/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL/bundle.json","state":"https://pith.science/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3H3LCR6YJBXHRUTIWMRV6HK6SL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3H3LCR6YJBXHRUTIWMRV6HK6SL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3a78d3d7133e0843842dd03bfa57fa9dca1d0ae4f1ef324c82b7488f7221e866","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-18T09:40:56Z","title_canon_sha256":"6fde32ff42b0278d383808d5f58a3818a5bc7339340f26b45647631497303376"},"schema_version":"1.0","source":{"id":"2003.08119","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08119","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08119v2","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08119","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"3H3LCR6YJBXH","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"3H3LCR6YJBXHRUTI","created_at":"2026-07-05T02:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"3H3LCR6Y","created_at":"2026-07-05T02:07:01Z"}],"graph_snapshots":[{"event_id":"sha256:4a766a521f74ebb42de20dfa53aa2fa02fd2f6c3e3868db62fb36bf7481c2c3f","target":"graph","created_at":"2026-07-05T02:07:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2003.08119/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data silos and privacy concerns restrict access to this data. However, without access to sufficient data, ML will be prevented from reaching its full potential and, ultimately, from making the transition from research to clinical practice. This paper considers key factors contributing to this issue, explores how Feder","authors_text":"Andrew Trask, Bennett Landman, Daguang Xu, Fausto Milletari, Holger Roth, Jonny Hancox, Klaus Maier-Hein, Mathieu N. Galtier, Maximilian Baust, Micah Sheller, M. Jorge Cardoso, Nicola Rieke, Ronald M. Summers, Sebastien Ourselin, Shadi Albarqouni, Spyridon Bakas, Wenqi Li","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-18T09:40:56Z","title":"The Future of Digital Health with Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08119","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:de227f98d9cd285769a6866986cc09c7ef1a762cfa72175833300cbec3f2b39b","target":"record","created_at":"2026-07-05T02:07:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3a78d3d7133e0843842dd03bfa57fa9dca1d0ae4f1ef324c82b7488f7221e866","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-18T09:40:56Z","title_canon_sha256":"6fde32ff42b0278d383808d5f58a3818a5bc7339340f26b45647631497303376"},"schema_version":"1.0","source":{"id":"2003.08119","kind":"arxiv","version":2}},"canonical_sha256":"d9f6b147d8486e78d268b3235f1d5e92e2de4f100034236684199ef3be6ed907","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9f6b147d8486e78d268b3235f1d5e92e2de4f100034236684199ef3be6ed907","first_computed_at":"2026-07-05T02:07:01.897722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:07:01.897722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J6r9r89kbwXoOdlHT00xuwdndyN14rkAXd1jUUscY2geKxfgYHfGmU1hj5YkBk/+wB6otT8/romr7thr4mPIBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:07:01.898234Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.08119","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de227f98d9cd285769a6866986cc09c7ef1a762cfa72175833300cbec3f2b39b","sha256:4a766a521f74ebb42de20dfa53aa2fa02fd2f6c3e3868db62fb36bf7481c2c3f"],"state_sha256":"3bf4920478d5fdbe2123c4e4f64e9878a38ce6f56a63abce1598ee50eee2f1af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hog0Olk+st+KijKkmbcNG7nTD22z3sWV+UjNE2ol6dpVhIs91/L1ylIkBynp8HB87hkRNutLhst6eO+1tSGjAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T12:54:14.509159Z","bundle_sha256":"76ab7900d6de0a24a52d57400db0df94766a80c202c6f26e96e496483e8c8df7"}}